Akai Kaeru

Stony Brook University’s Klaus Mueller develops an AI tool identifying U.S. counties at high risk for COVID-19 and elevated death rates. The system flags about 40% of U.S. counties as vulnerable based on algorithmic analysis. Researchers leverage the model to pinpoint geographic hotspots for public health interventions.

Aug 2020tbrnewsmedia.comNews article

Akai Kaeru LLC, a startup affiliated with Stony Brook University, develops a machine learning tool to identify US counties at highest risk for COVID-19 deaths. The system analyzes data to predict spikes in cases and mortality rates, aiding scientists and officials in pandemic control efforts. Researchers at the university’s Department of Computer Science and Institute for Advanced Computational Science contribute to the project.

Jul 2020Medical XpressNews article

Akai Kaeru LLC, a Stony Brook University-affiliated startup, develops a machine learning tool to pinpoint U.S. counties most vulnerable to COVID-19. The system processes data from all 3,007 counties to assess pandemic risk. Researchers leverage computational science methods to refine predictive modeling for public health applications.

Jul 2020Stony Brook Matters - News for Alumni & FriendsNews article

Akai Kaeru LLC develops a machine learning tool to identify U.S. counties facing the highest COVID-19 mortality risks. The system helps scientists and officials predict spikes in cases and prioritize high-risk areas. Researchers affiliated with Stony Brook University contribute to the project.

Jul 2020SBU News - News & Features at Stony Brook UniversityNews article